会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Thermostat classification method and system
    • 恒温器分类方法和系统
    • US09547316B2
    • 2017-01-17
    • US13799550
    • 2013-03-13
    • Opower, Inc.
    • Erik ShiltsJonathan Z. Ben-MeshulamRichard Tyler Curtis
    • G05D23/00G06Q50/06G05D23/01
    • G05D23/01G06Q50/06
    • The disclosure provides a computer-implemented method and system of reducing commodity usage by providing tailored consumer information to the consumer. The method utilizes neural network and machine learning techniques to calculate and cluster statistical data to classify the premises for desired observable condition, including the presence of a programmed thermostat. A score is determined that corresponds to at least one of: (i) a present state of an observable condition, (ii) a non-present state of the observable condition, and (iii) a degree of a condition of the observable condition, to provide tailored consumer information associated to the consumer's usage of the commodity.
    • 本公开提供了一种通过向消费者提供定制的消费者信息来减少商品使用的计算机实现的方法和系统。 该方法利用神经网络和机器学习技术来计算和聚类统计数据,将房屋分类为所需的可观察条件,包括编程恒温器的存在。 确定对应于以下中的至少一个的评分:(i)可观察条件的现状,(ii)可观察条件的非存在状态,以及(iii)可观察条件的条件的程度, 提供与消费者对商品使用相关联的量身定制的消费者信息。
    • 6. 发明申请
    • Thermostat Classification Method and System
    • 恒温器分类方法和系统
    • US20140074300A1
    • 2014-03-13
    • US13799550
    • 2013-03-13
    • Opower, Inc.
    • Erik ShiltsJonathan Z. Ben-MeshulamRichard Tyler Curtis
    • G05D23/01
    • G05D23/01G06Q50/06
    • The disclosure provides a computer-implemented method and system of reducing commodity usage by providing tailored consumer information to the consumer. The method utilizes neural network and machine learning techniques to calculate and cluster statistical data to classify the premises for desired observable condition, including the presence of a programmed thermostat. A score is determined that corresponds to at least one of: (i) a present state of an observable condition, (ii) a non-present state of the observable condition, and (iii) a degree of a condition of the observable condition, to provide tailored consumer information associated to the consumer's usage of the commodity.
    • 本公开提供了一种通过向消费者提供定制的消费者信息来减少商品使用的计算机实现的方法和系统。 该方法利用神经网络和机器学习技术来计算和聚类统计数据,将房屋分类为所需的可观察条件,包括编程恒温器的存在。 确定对应于以下中的至少一个的评分:(i)可观察条件的现状,(ii)可观察条件的非存在状态,以及(iii)可观察条件的条件的程度, 提供与消费者对商品使用相关联的量身定制的消费者信息。
    • 7. 发明申请
    • Method and System for Unusual Usage Reporting
    • 异常使用报告的方法和系统
    • US20140006314A1
    • 2014-01-02
    • US13765045
    • 2013-02-12
    • OPOWER, INC.
    • Janet YuTom MercerEric ChangRichard Tyler CurtisDaniel J. Yates
    • G06Q30/02
    • G06Q30/0283G06Q30/02
    • Illustrative embodiments of the present invention are directed to methods and computer systems for reporting unusual or anomalous usage or spending of a commodity by consumers. A computer system retrieves a set of usage-information datasets corresponding to a set of consumers, each dataset including past usage of the commodity during at least one of a completed billing period and a current usage of the commodity during the current billing period. The computer system establishes a set of report-trigger conditions for the current billing period, each of the report-trigger conditions corresponding to a consumer. The computer system monitor usage or spending of the set of consumers to determine, for each consumer, whether an estimated usage established for each consumer fulfills the consumer's report-trigger condition. Once the report-trigger condition is fulfilled, the computer system outputs a report to the consumer.
    • 本发明的说明性实施例涉及用于报告消费者不寻常或异常使用或消费商品的方法和计算机系统。 计算机系统检索对应于一组消费者的一组使用信息数据集,每个数据集包括在当前记帐周期期间在完成的记帐周期和商品的当前使用中的至少一个期间商品的过去使用。 计算机系统为当前结算周期建立一组报告触发条件,每个报告触发条件对应于消费者。 计算机系统监视消费者集合的使用或消费,以确定每个消费者是否为每个消费者建立的估计使用量满足消费者的报告触发条件。 一旦达到报告触发条件,计算机系统向消费者输出报告。
    • 8. 发明授权
    • Unusual usage alerts
    • US10235662B2
    • 2019-03-19
    • US14577929
    • 2014-12-19
    • Opower, Inc.
    • Richard Tyler Curtis
    • G06Q20/14G06Q50/06
    • Techniques for unusual usage alerts without smart meter data are provided. The computing device can determine a set of climate control disaggregation coefficients and obtain weather data corresponding to at least a portion of a billing period. In turn, the computing device can determine first forecasted usage data for the at least a portion of the billing period based on the set of climate control disaggregation coefficients and the weather data, and determine second forecasted usage data for a length of the billing period based at least in part on the first forecasted usage data. In some aspects, the computing device can project unusual energy usage for the billing period based on the second forecasted usage data determined to be greater than usage data for a prior time period. The computing device can generate an alert notification including an indication of the unusual energy usage projection.
    • 10. 发明申请
    • UNUSUAL USAGE ALERTS
    • 不寻常的使用警报
    • US20160005015A1
    • 2016-01-07
    • US14577929
    • 2014-12-19
    • Opower, Inc.
    • Richard Tyler Curtis
    • G06Q20/14G06Q50/06
    • G06Q20/145G06Q50/06Y04S50/12
    • Techniques for unusual usage alerts without smart meter data are provided. The computing device can determine a set of climate control disaggregation coefficients and obtain weather data corresponding to at least a portion of a billing period. In turn, the computing device can determine first forecasted usage data for the at least a portion of the billing period based on the set of climate control disaggregation coefficients and the weather data, and determine second forecasted usage data for a length of the billing period based at least in part on the first forecasted usage data. In some aspects, the computing device can project unusual energy usage for the billing period based on the second forecasted usage data determined to be greater than usage data for a prior time period. The computing device can generate an alert notification including an indication of the unusual energy usage projection.
    • 提供了不带智能电表数据的异常使用警报的技术。 计算设备可以确定一组气候控制分解系数并获得对应于计费周期的至少一部分的天气数据。 反过来,计算设备可以基于气候控制分解系数和天气数据的集合来确定计费周期的至少一部分的第一预测使用数据,并且基于计费周期的长度来确定第二预测使用数据 至少部分地基于第一预测的使用数据。 在一些方面,计算设备可以基于被确定为大于先前时间段的使用数据的第二预测使用数据来投射计费周期的异常能量使用。 计算设备可以生成包括异常能量使用投影的指示的警报通知。